Meta Model Ranked Second in OpenCode Usage
The Muse Spark 1.3 Contributor model captured 23.7% of platform market share via a data-for-discount program.
Updated on Sept. 24, 2026 in Artificial Intelligence
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Meta’s Muse Spark 1.3 Contributor model reached the second-highest usage ranking on the OpenCode platform as of September 24. The model accounted for a significant portion of developer activity, leveraging a pricing strategy that incentivizes data sharing.
Why it matters
By offering discounted API access in exchange for user prompt and completion data, Meta is accelerating the collection of training inputs for future iterations of its AI models. This approach allows the company to secure a competitive foothold among coding agents while building a massive corpus of specialized development data.
The Muse Spark 1.3 Contributor recorded 36 trillion tokens in total usage, contributing to Meta’s overall 23.7% market share on OpenCode. The model is priced at $0.10 per 1 million input tokens and $0.20 per 1 million output tokens, with cached-read tokens at $0.002.
The players
Meta
A global technology company focused on social media, metaverse infrastructure, and large-scale foundation model development.
OpenCode
A platform for hosting and tracking the performance of specialized coding models used by software developers.
The details
Muse Spark 1.3 Contributor is accessed by coding agents—automated software systems that write or debug code—through the OpenCode Go subscription service. Meta sustains this lower pricing tier by requiring users to share their prompt and completion data, which the company then repurposes for training subsequent model generations. This model also powers the broader Meta AI app and the meta.ai interface.
Timeline
April 8, 2026: Meta introduced the Muse Spark model series.
September 24, 2026: The Muse Spark 1.3 Contributor achieved its second-place usage ranking on OpenCode.
The Tech Race
Meta is aggressively challenging the dominant coding agent ecosystems by saturating the market with highly accessible, data-backed models. This positioning directly competes with the OpenAI Codex model ecosystem to secure the primary training loop for next-generation developer tooling.
Developers accessing coding agents via OpenCode Go can utilize the Muse Spark 1.3 Contributor at a lower cost than standard alternatives, provided they accept the data-sharing requirements. The service maintains a $60 monthly usage limit for subscribers.
The takeaway
Meta is effectively weaponizing user data to drive down the cost of its AI models and capture significant developer mindshare. Observers should track Meta's future model release benchmarks to determine if this massive data ingestion strategy translates into superior performance over proprietary competitors.
Further reading
For more on the current landscape of model performance and deployment, see our Artificial Intelligence section.
Source note: This article includes information reported by TokenPost.
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